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This paper presents the first systematic study on co-scheduling independent jobs on integrated CPU-GPU systems with power caps considered. It reveals the performance degradations caused by the co-run contentions at the levels of both memory and power. It then examines the problem of using job co-scheduling to alleviate the degradations in this less understood scenario. It offers several algorithms...
GPU has become an important component of the high performance computing system and its principal duty is parallel computing rather than graphical display. Determining the power and energy consumption is necessary to the scaling of GPU. This paper presents a statistic model to evaluate the power and energy consumption of AMD's integrated GPU (iGPU). By collecting the data of performance counters from...
Due to the environmental constraints, the use of high-performance embedded multi-core processor to solve the problem of scientific computing is the only way in a specified environment. This paper discusses the parallel computing framework and method in embedded multi-core system that used in safety critical system, and analyzes the performance of computation with three methods: the single thread,...
With the SIMT execution model, GPUs can hidememory latency through massive multithreading for many applications that have regular memory access patterns. To support applications with irregular memory access patterns, cache hierarchies have been introduced to GPU architectures to capture temporal and spatial locality and mitigate the effect of irregular accesses. However, GPU caches exhibit poor efficiency...
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